Suppr超能文献

英国生物银行视网膜成像分级:方法学、常见眼病的基线特征和结果。

UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases.

机构信息

Institute of Cardiovascular Science, University College London, London, UK.

Medical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK.

出版信息

Eye (Lond). 2023 Jul;37(10):2109-2116. doi: 10.1038/s41433-022-02298-7. Epub 2022 Nov 3.

Abstract

BACKGROUND/OBJECTIVES: This study aims to describe the grading methods and baseline characteristics for UK Biobank (UKBB) participants who underwent retinal imaging in 2009-2010, and to characterise individuals with retinal features suggestive of age-related macular degeneration (AMD), glaucoma and retinopathy.

METHODS

Non-mydriatic colour fundus photographs and macular optical coherence tomography (OCT) scans were manually graded by Central Administrative Research Facility certified graders and quality assured by clinicians of the Network of Ophthalmic Reading Centres UK. Captured retinal features included those associated with AMD (≥1 drusen, pigmentary changes, geographic atrophy or exudative AMD; either imaging modality), glaucoma (≥0.7 cup-disc ratio, ≥0.2 cup-disc ratio difference between eyes, other abnormal disc features; photographs only) and retinopathy (characteristic features of diabetic retinopathy with or without microaneurysms; either imaging modality). Suspected cases of these conditions were characterised with reference to diagnostic records, physical and biochemical measurements.

RESULTS

Among 68,514 UKBB participants who underwent retinal imaging, the mean age was 57.3 years (standard deviation 8.2), 45.7% were men and 90.6% were of White ethnicity. A total of 64,367 participants had gradable colour fundus photographs and 68,281 had gradable OCT scans in at least one eye. Retinal features suggestive of AMD and glaucoma were identified in 15,176 and 2184 participants, of whom 125 (0.8%) and 188 (8.6%), respectively, had a recorded diagnosis. Of 264 participants identified to have retinopathy with microaneurysms, 251 (95.1%) had either diabetes or hypertension.

CONCLUSIONS

This dataset represents a valuable addition to what is currently available in UKBB, providing important insights to both ocular and systemic health.

摘要

背景/目的:本研究旨在描述 2009-2010 年接受视网膜成像检查的英国生物银行(UKBB)参与者的分级方法和基线特征,并描述具有与年龄相关性黄斑变性(AMD)、青光眼和视网膜病变相关的视网膜特征的个体。

方法

非散瞳彩色眼底照片和黄斑光学相干断层扫描(OCT)扫描由中央行政研究设施认证分级员手动分级,并由英国眼科阅读中心网络的临床医生进行质量保证。捕获的视网膜特征包括与 AMD(≥1 个玻璃膜疣、色素变化、地理萎缩或渗出性 AMD;任何一种成像方式)、青光眼(≥0.7 杯盘比、双眼≥0.2 杯盘比差异、其他异常视盘特征;仅照片)和视网膜病变(伴或不伴微动脉瘤的糖尿病视网膜病变特征;任何一种成像方式)相关的特征。这些疾病的疑似病例通过参考诊断记录、体格检查和生化测量进行特征描述。

结果

在接受视网膜成像检查的 68514 名 UKBB 参与者中,平均年龄为 57.3 岁(标准差 8.2),45.7%为男性,90.6%为白种人。共有 64367 名参与者的彩色眼底照片可分级,68281 名参与者的至少一只眼的 OCT 扫描可分级。在 15176 名参与者中发现了具有 AMD 和青光眼特征的视网膜病变,其中 125 名(0.8%)和 188 名(8.6%)分别有记录的诊断。在 264 名被确定患有伴微动脉瘤的视网膜病变的参与者中,251 名(95.1%)患有糖尿病或高血压。

结论

该数据集是 UKBB 目前可用数据的重要补充,为眼部和全身健康提供了重要的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8617/10333328/05c0ad6d8b93/41433_2022_2298_Fig1_HTML.jpg

相似文献

1
UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases.
Eye (Lond). 2023 Jul;37(10):2109-2116. doi: 10.1038/s41433-022-02298-7. Epub 2022 Nov 3.
2
Spectral-domain optical coherence tomography characteristics of intermediate age-related macular degeneration.
Ophthalmology. 2013 Jan;120(1):140-50. doi: 10.1016/j.ophtha.2012.07.004. Epub 2012 Sep 8.
3
Optical Coherence Tomography Reflective Drusen Substructures Predict Progression to Geographic Atrophy in Age-related Macular Degeneration.
Ophthalmology. 2016 Dec;123(12):2554-2570. doi: 10.1016/j.ophtha.2016.08.047. Epub 2016 Oct 25.
4
Optical coherence tomography-defined changes preceding the development of drusen-associated atrophy in age-related macular degeneration.
Ophthalmology. 2014 Dec;121(12):2415-22. doi: 10.1016/j.ophtha.2014.06.034. Epub 2014 Aug 8.
5
Six-year incidence of age-related macular degeneration and correlation to OCT-derived drusen volume measurements in a Chinese population.
Br J Ophthalmol. 2023 Mar;107(3):392-398. doi: 10.1136/bjophthalmol-2021-319290. Epub 2021 Oct 4.
8
Drusen Volume and Retinal Pigment Epithelium Abnormal Thinning Volume Predict 2-Year Progression of Age-Related Macular Degeneration.
Ophthalmology. 2016 Jan;123(1):39-50.e1. doi: 10.1016/j.ophtha.2015.09.016. Epub 2015 Nov 12.

引用本文的文献

2
Reply.
Ophthalmol Sci. 2025 Apr 5;5(5):100789. doi: 10.1016/j.xops.2025.100789. eCollection 2025 Sep-Oct.
3
RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
IEEE EMBS Int Conf Biomed Health Inform. 2024 Nov;2024. doi: 10.1109/bhi62660.2024.10913865.
4
Differential Organ Ageing Is Associated With Age-Related Macular Degeneration.
Aging Cell. 2025 May;24(5):e14473. doi: 10.1111/acel.14473. Epub 2025 Jan 5.
6
Retinal morphology across the menstrual cycle: insights from the UK Biobank.
NPJ Womens Health. 2024;2(1):38. doi: 10.1038/s44294-024-00042-y. Epub 2024 Nov 8.
7
Associations of Metabolically Healthy Obesity and Retinal Age Gap.
Transl Vis Sci Technol. 2024 Nov 4;13(11):26. doi: 10.1167/tvst.13.11.26.
8
9
Decreased Circulating Very Small Low-Density Lipoprotein is Likely Causal for Age-Related Macular Degeneration.
Ophthalmol Sci. 2024 Apr 22;4(5):100535. doi: 10.1016/j.xops.2024.100535. eCollection 2024 Sep-Oct.
10
Highly Accurate and Precise Automated Cup-to-Disc Ratio Quantification for Glaucoma Screening.
Ophthalmol Sci. 2024 Apr 27;4(5):100540. doi: 10.1016/j.xops.2024.100540. eCollection 2024 Sep-Oct.

本文引用的文献

1
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.
Lancet Digit Health. 2020 Oct;2(10):e526-e536. doi: 10.1016/S2589-7500(20)30216-8.
2
Visual Impairment and Mental Health: Unmet Needs and Treatment Options.
Clin Ophthalmol. 2020 Dec 3;14:4229-4251. doi: 10.2147/OPTH.S258783. eCollection 2020.
4
Insights into Systemic Disease through Retinal Imaging-Based Oculomics.
Transl Vis Sci Technol. 2020 Feb 12;9(2):6. doi: 10.1167/tvst.9.2.6.
5
Creating and sharing reproducible research code the workflowr way.
F1000Res. 2019 Oct 14;8:1749. doi: 10.12688/f1000research.20843.1. eCollection 2019.
6
A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.
Lancet Digit Health. 2019 May 20;1(2):e63-e77. doi: 10.1016/S2589-7500(19)30012-3. eCollection 2019 Jun.
7
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.
Nat Biomed Eng. 2018 Mar;2(3):158-164. doi: 10.1038/s41551-018-0195-0. Epub 2018 Feb 19.
8
Cohort profile: design and methods in the eye and vision consortium of UK Biobank.
BMJ Open. 2019 Feb 21;9(2):e025077. doi: 10.1136/bmjopen-2018-025077.
10
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.
Ophthalmology. 2018 Aug;125(8):1264-1272. doi: 10.1016/j.ophtha.2018.01.034. Epub 2018 Mar 13.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验